Evidence map›Paper›PMID 34387339›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2021

Understanding the benefits of different types and timing of education for mental health: A sequence analysis approach.

Anusha M Vable, Catherine D P Duarte, S Rae Wannier, Alec M Chan-Golston, Alison K Cohen, M Maria Glymour, Robert K Ream, Irene H Yen

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Positive mental health of patients at a psychiatric hospital, Gauteng province, South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2023
    Article
  2. Lifecourse Educational Trajectories and Hypertension in Midlife: An Application of Sequence Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anusha M VableDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, CA.ORCID 0000-0002-2202-0294
Catherine D P DuarteDivision of Epidemiology, University of California Berkeley, Berkeley, CA.
S Rae WannierDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
Alec M Chan-GolstonDepartment of Public Health, School of Social Sciences, Humanities and Arts, University of California, Merced, Merced, CA.
Alison K CohenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
M Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
Robert K ReamGraduate School of Education, University of California, Riverside, Riverside, CA.
Irene H YenDepartment of Public Health, School of Social Sciences, Humanities and Arts, University of California, Merced, Merced, CA.

Funding

Educational Trajectories & Health: when People finish School and how it mattersR01AG056360 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YEN, IRENE H · 2017 to 2020
$2.0M
NIA NIH HHS R01 AG056360
6 · The paper itself

Abstract

objectivesIndividuals increasingly experience delays or interruptions in schooling; we evaluate the association between these non-traditional education trajectories and mental health.

methodsUsing year-by-year education data for 7,501 National Longitudinal Survey of Youth 1979 participants, ages 14-48 (262,535 person-years of education data), we applied sequence analysis and a clustering algorithm to identify educational trajectory groups, incorporating both type and timing to credential. Linear regression models, adjusted for early-life confounders, evaluated relationships between educational trajectories and mental health component scores (MCS) from the 12-item short form instrument at age 50. We evaluated effect modification by race, gender, and race by gender.

resultsWe identified 24 distinct educational trajectories based on highest credential and educational timing. Compared to high school (HS) diplomas, < HS (beta=-3.41, 95%CI:-4.74,-2.07) and general educational development credentials (GEDs) predicted poorer MCS (beta=-2.07,95%CI:-3.16,-0.98). The following educational trajectories predicted better MCS: some college immediately after High School (beta=1.52, 95%CI:0.68,2.37), Associate degrees after long interruptions (beta=1.73, 95%CI:0.27,3.19), and graduate school soon after Bachelor's completion (beta=1.13, 95%CI:0.21,2.06). Compared to White men, Black women especially benefited from educational credentials higher than HS in predicting MCS.

conclusionsBoth type and timing of educational credential predicted mental health. Black women's mental higher especially benefited from higher educational credentials.

Indexed as

educationeducational trajectorieshealth disparitiesmental healthsequence analysis

Identifiers

PMID34387339
PMCPMC10935480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.